David Hayden — accepted AI-conference papers

2025

Causal Composition Diffusion Model for Closed-loop Traffic Generation

Haohong Lin, Xin Huang, Tung Phan, David Hayden, Huan Zhang, Ding Zhao +3

CVPR 2025poster

Simulation is critical for safety evaluation in autonomous driving, particularly in capturing complex interactive behaviors. However, generating **realistic** and **controllable** traffic scenarios in long-tail situations remains a significant challenge. Existing generative models suffer from the co…

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2020

Sequential Bayesian Experimental Design with Variable Cost Structure

Sue Zheng, David Hayden, Jason Pacheco, John W. Fisher III

NeurIPS 2020poster

Mutual information (MI) is a commonly adopted utility function in Bayesian optimal experimental design (BOED). While theoretically appealing, MI evaluation poses a significant computational burden for most real world applications. As a result, many algorithms utilize MI bounds as proxies that lack r…

Cited by 12 Source ↗PDF ↗Scholar ↗